Presentation 2022-03-08
The Prototype of a Real Time Mobile Braille Pattern Detection Utilizing Machine Learning for a Self-study Tool for Visually Impaired People
Jevri Tri Ardiansah, Okazaki Yasuhisa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The capacity to read and write is called literacy. Literacy is necessary for a good education, a good job, and a high quality of life. Braille is a form of literacy for Visually Impaired People(VIP). To increase the literacy for VIP, a braille self-study tool prototype is developed in this study. The self-study tool concept utilizes a smartphone application, and a flashcard contains real braille which is designed based on beginner braille material. The application?s voice output allows VIP to learn braille by using the drilling method. The braille pattern recognition utilizes Machine Learning which gives real-time object detection.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Braille / Visual Impaired People / Image Computing / YOLO / Self-study Tool / TensorFLow / Flutter / Machine Learning
Paper # WIT2021-45
Date of Issue 2022-03-01 (WIT)

Conference Information
Committee WIT / IPSJ-AAC
Conference Date 2022/3/8(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Shinji Sakou(Nagoya Inst. of Tech.)
Vice Chair Tomohiro Amemiya(Univ. of Tokyo)
Secretary Tomohiro Amemiya(Saitama Industrial Tech. Center) / (Teikyo Univ.)
Assistant Minako Hosono(AIST) / Aki Sugano(Nagoya Univ.) / Tomoyasu Komori(NHK)

Paper Information
Registration To Technical Committee on Well-being Information Technology / Special Interest Group on Assistive & Accessible Computin
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) The Prototype of a Real Time Mobile Braille Pattern Detection Utilizing Machine Learning for a Self-study Tool for Visually Impaired People
Sub Title (in English)
Keyword(1) Braille
Keyword(2) Visual Impaired People
Keyword(3) Image Computing
Keyword(4) YOLO
Keyword(5) Self-study Tool
Keyword(6) TensorFLow
Keyword(7) Flutter
Keyword(8) Machine Learning
1st Author's Name Jevri Tri Ardiansah
1st Author's Affiliation Saga University(Saga University)
2nd Author's Name Okazaki Yasuhisa
2nd Author's Affiliation Saga University(Saga University)
Date 2022-03-08
Paper # WIT2021-45
Volume (vol) vol.121
Number (no) WIT-418
Page pp.pp.12-17(WIT),
#Pages 6
Date of Issue 2022-03-01 (WIT)